Fingerprinting Redox Heterogeneity in Electrodes during Extreme Fast Charging

Mistry, Aashutosh; Usseglio-Viretta, François; Colclasure, Andrew M.; Smith, Kandler; Mukherjee, Partha P.

doi:10.1149/1945-7111/ab8fd7

Cited by 64 publications

(65 citation statements)

References 126 publications

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“…[ 31 ] Mesoscale electrochemical modeling predicted electrode microstructure inhomogeneity, and this gave rise to localized plating that occurred both earlier (at ≈24 s) and more severely (≈twice) compared with homogeneous electrodes during fast charging. [ 32 ]…”

Section: Resultsmentioning

confidence: 99%

“…[31] Mesoscale electrochemical modeling predicted electrode microstructure inhomogeneity, and this gave rise to localized plating that occurred both earlier (at %24 s) and more severely (%twice) compared with homogeneous electrodes during fast charging. [32] Figure 10a shows how the characteristic ionic diffusion time is shorter for the high-porosity electrodes, even though the calendered electrodes are thinner, with difference increasing with decreasing ionic transport coefficient. Figure 10b generalizes the approach to different porosities, considering doublets (thickness, theoretical porosity) that preserve the active material theoretical capacity (e.g., Figure 10c).…”

Section: Model Predictions For Lithium Plating During Initial Fast Chmentioning

confidence: 99%

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Effect of Anode Porosity and Temperature on the Performance and Lithium Plating During Fast‐Charging of Lithium‐Ion Cells

et al. 2020

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Twenty-four single-layer %32 mAh pouch cells are tested to determine the effect of electrode porosity on lithium plating. Twelve cells contain a graphite electrode that is 26% porous, and 47% for the other twelve. The cells are cycled using a 6-C charge and a C/2 discharge protocol at temperatures in the range of 20-50 C. A macro-homogeneous electrochemical model and microstructure analysis tool set are used to help interpret experimental observations for the effect of anode porosity and ambient temperature on fast-charging performance. Comparison between the two also highlights gaps in current theoretical understanding that need to be addressed. In post-test examination, lithium plating is seen in all cells, regardless of porosity. Elevated temperature is shown to reduce the amount of lithium plating and improve initial fast-charge capacity, but also changes the rate of other, less well-understood degradation mechanisms. Apparent kinetic rate laws, At þ Bt 1/2 , where A and B are constants, can be fit to most of the capacity loss and resistance increase data. The relative magnitudes of A and B change with temperature and porosity. The capacity loss data at 50 C from the high-porosity cells are fit by a logistics rate law.

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Section: Resultsmentioning

confidence: 99%

Section: Model Predictions For Lithium Plating During Initial Fast Chmentioning

confidence: 99%

Effect of Anode Porosity and Temperature on the Performance and Lithium Plating During Fast‐Charging of Lithium‐Ion Cells

et al. 2020

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“…For instance, they can be used to evaluate existing structuring concepts or identify thermal hotspots and local lithium plating. [64][65][66] Kespe et al used 3D microstructure simulations to improve the electric conductivity of an electrode by optimizing the spatial location of the carbon-binder domain (CBD). [67] Chouchane et al looked at the CBD from a production perspective.…”

Section: Models For Optimal Electrode Designmentioning

confidence: 99%

Myth and Reality of a Universal Lithium‐Ion Battery Electrode Design Optimum: A Perspective and Case Study

et al. 2021

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The quest toward optimal electrode design for energy‐ and power‐demanding applications involves besides experimental effort also less resource‐intensive model‐based studies. The diversity of optimization objectives and benchmark systems complicates the practical utilization of available methods and gained knowledge. Despite the increasing importance of fast charging, electrode design studies commonly focus only on discharge characteristics. This paper features, besides an overview and perspective of electrode structuring concepts and optimization pathways, a model‐based full cell parameter screening of two‐layered electrodes for charge and discharge. The small fraction of cells with superior performance among the evaluated configurations underlines the importance of a joint experimental and model‐based electrode design optimization. The results further indicate that the performance of cell designs tailored for fast charge or fast discharge differs substantially; the gap widens if charging is terminated below 0 V versus Li/Li+ to prevent lithium plating. The broad parameter screening is complemented by a high‐resolution half cell parameter study. Their comparison underlines that the benefit of electrode structuring depends heavily on the study extent and the chosen benchmark. Furthermore, the importance of the parameter space surrounding an optimal electrode design for production with process tolerances is highlighted.

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“…37 However, the developed approach requires a relatively larger number of input parameters for the heat source. 29,30,38 and fast charging [39][40][41][42] , the present study is focused on TR induced by overheating.…”

Section: Introductionmentioning

confidence: 99%

A Simplified Mathematical Model for Heating-Induced Thermal Runaway of Lithium-Ion Batteries

Chen¹,

Buston²,

Gill³

et al. 2021

J. Electrochem. Soc.

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The present study aims to develop a simplified mathematical model for the evolution of heating-induced thermal runaway (TR) of lithium-ion batteries (LIBs). This model only requires a minimum number of input parameters, and some of these unknown parameters can be obtained from accelerating rate calorimeter (ARC) tests and previous studies, removing the need for detailed measurements of heat flow of cell components by differential scanning calorimetry. The model was firstly verified by ARC tests for a commercial cylindrical 21700 cell for the prediction of the cell surface temperature evolution with time. It was further validated by uniform heating tests of 21700 cells conducted with flexible and nichrome-wire heaters, respectively. The validated model was finally used to investigate the critical ambient temperature that triggers battery TR. The predicted critical ambient temperature is between 127 °C and 128 °C. The model has been formulated as lumped 0D, axisymmetric 2D and full 3D to suit different heating and geometric arrangements and can be easily extended to predict the TR evolution of other LIBs with different geometric configurations and cathode materials. It can also be easily implemented into other computational fluid dynamics (CFD) code.

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Fingerprinting Redox Heterogeneity in Electrodes during Extreme Fast Charging

Cited by 64 publications

References 126 publications

Effect of Anode Porosity and Temperature on the Performance and Lithium Plating During Fast‐Charging of Lithium‐Ion Cells

Effect of Anode Porosity and Temperature on the Performance and Lithium Plating During Fast‐Charging of Lithium‐Ion Cells

Myth and Reality of a Universal Lithium‐Ion Battery Electrode Design Optimum: A Perspective and Case Study

A Simplified Mathematical Model for Heating-Induced Thermal Runaway of Lithium-Ion Batteries

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